Skin Texture Analyzer
Returns texture as an independent value alongside pores scored by facial region, with 95% test-retest reliability and over 80% correlation with professional physician assessment.
An AI skin texture analyzer estimates how smooth or uneven the skin surface is from a photograph and returns a score from 1 to 100 where higher means smoother. It is the fastest moving structural concern on a skin report, improving in four to twelve weeks, which makes it the metric brands use to prove a routine is working while slower concerns like pigment and firmness catch up. It is a cosmetic assessment, not a medical diagnosis.
Surface smoothness on a 1 to 100 scale in both raw and display form, where higher means smoother. It is calculated separately rather than averaged out of other concerns.
Forehead, nose, cheek and whole face scored individually. A low texture score driven by the nose is a congestion story, the same score driven by the cheeks is usually dryness or sun damage.
Surface hydration arrives in the same response, which is what separates rough skin that needs exfoliating from dehydrated skin that would be damaged by it.
Redness is scored in parallel so an irritated barrier can be told apart from genuine congestion before any active is recommended.
Region detections are returned as PNG images that can be overlaid on the original photo, so the customer sees what drove the score instead of a bare number.
Measure Skin Texture in Three Steps
From selfie to routed recommendation in seconds, on any device the customer already owns.
Capture
A selfie in even indirect light with a bare face and no flash. Flash flattens the surface and makes rough skin read smoother than it is, which is the single biggest source of a falsely good texture score.
Analyse
The engine scores texture as its own value, with pores by region, moisture and redness alongside, and returns structured data in seconds rather than a fixed interface.
Route and Re-scan at Four Weeks
Scores map to product tiers and the customer is invited back. Texture moves fast enough that a four week follow up shows real change, which makes it the natural first checkpoint in any routine.
Acne is inflammatory and scored independently. Congestion without inflammation needs exfoliation; active acne needs to be treated first, and exfoliating over it makes the marks worse.
Pore size is one contributor to texture, not the whole of it. Pores are returned by region in the same response so the two can be separated rather than conflated.
Wrinkles are creases with direction and location. Texture is an undirected surface irregularity. A face can score well on one and poorly on the other.
Dullness is about how light reflects overall. Rough texture causes some of it, but dehydration and uneven tone cause the rest, which is why both readings are needed.
Dehydration is creating the roughness. Hydrate and repair the barrier first. Selling an exfoliant here is the commercially obvious move and the clinically wrong one.
The barrier is irritated. Calm it before introducing any acid, or the next scan will be worse and the customer will blame the product.
Genuine surface congestion. This is the customer an exfoliating routine was designed for, and the one most likely to show a four week improvement.
Nothing structural to fix. Route to maintenance and hydration rather than treatment, and use the next scan to hold the result.
Flash Erases Texture
Texture is visible because micro-shadowing makes surface irregularity readable. A direct flash removes that shadowing entirely, so the same rough cheek photographed with flash scores noticeably smoother than it does in daylight. The fix is not a correction applied afterwards. It is a capture flow that rejects flash before the image is ever accepted, which is why the requirements below are enforced at the point of capture.
Imaging units typically run 5,000 to 10,000 US dollars each before servicing. Units are consumed per successful analysis instead, with volume based pricing.
One integration reaches your site, your app, a counter tablet, and a clinic kiosk, rather than one physical location serving one customer at a time.
A hardware follow up needs a return visit. A software re-scan needs a push notification, which is what makes a four week texture checkpoint realistic.
Model improvements ship without downtime, calibration visits or replacement cycles.
Scores can be passed into your own systems with customer consent, turning a one off result into a segment you can market to.
Checked by Dermatologists
The engine is trained on over 70,000 clinical images and reaches 95% test to retest reliability with over 80% correlation against professional physician assessment. A dermatologist led review by Dr Steven R. Feldman, Professor of Dermatology at Wake Forest School of Medicine, examined its reliability, and the technology has been examined across four peer reviewed journal publications, one of which looked specifically at pore detection. Validation covers the full Fitzpatrick range, which is the question worth putting to every vendor in this category.
A product finder that opens on the fastest-moving score, so the first follow-up email has something real to report. Benefit Cosmetics reported almost a 14x uplift in sales attributed to its AI pore analysis tool built on this technology.
A counter tablet that measures before it recommends, which raises attach rate and gives the associate something objective to point at.
Intake scoring and treatment progress tracking, with texture as the four-week checkpoint between longer pigment and firmness reviews.
Pre-purchase triage that keeps dehydrated and irritated customers away from an active that would make their next scan worse.
A single API that adds texture scoring to an existing salon, clinic, or e-commerce platform, returning structured data rather than a fixed interface.
Talk to our team about integration, validation data by Fitzpatrick type, and deployment across web, app, and in-store.
An AI skin texture analyzer estimates how smooth or uneven the skin surface is from a photograph and returns a score from 1 to 100, where higher means smoother. It measures roughness and micro-irregularity rather than lines or blemishes, and it is a cosmetic assessment rather than a medical diagnosis.
Scores above 85 indicate a smooth surface needing maintenance only. The 70 to 84 band is light irregularity, 40 to 69 is noticeable roughness worth an active routine, and below 40 warrants checking moisture and redness before any exfoliant is recommended. Scores are comparable within one system and over time for one person, not across different vendors.
The engine reaches 95% test to retest reliability and over 80% correlation with professional physician assessment, trained on 70,000+ clinical images and examined across four peer reviewed journal publications, one of which looked specifically at pore detection. Capture conditions matter more than most buyers expect, which is why flash is rejected at the point of capture.
Yes. Web and mobile SDKs, a server API and a hosted experience are all available, and the API returns structured data and detection masks rather than a fixed interface, so the presentation layer stays yours. Scores can be passed into your own CRM with customer consent.
The hosted skin analysis experience can be tried free with no download. For commercial deployment, units are consumed per successful analysis with volume based pricing, rather than the 5,000 to 10,000 US dollars typical of imaging hardware. Contact sales for a quote against your expected volume.